Regulatory compliance • Customer registration • 3-D Secure • QR Payments • Digital identity
November 28
Regulatory compliance • Customer registration • 3-D Secure • QR Payments • Digital identity
• Founded over 16 years ago, Entersekt is a leader in mobile authentication, mobile app security, and payments enablement technology. • Entersekt enables secure digital transactions for leading financial institutions globally. • The Signal Processing team is responsible for processing signals and data at scale to improve authentication and fraud detection systems. • You’ll collaborate with software engineers, data scientists, and quality assurance engineers. • This role requires building and enhancing products crucial to Entersekt’s innovation pipeline.
• 5+ years of experience with one or more general-purpose programming languages, such as Java, Python, or Golang, with a strong grasp of object-oriented programming and design principles. • Experience with cloud platforms, particularly AWS. • Knowledge of large-scale data processing technologies, such as Apache Kafka or AWS Kinesis. • Experience with containerization and orchestration technologies, such as Docker and Kubernetes. • Exposure to machine learning workflows. • Strong understanding of software architecture, with experience building and scaling microservices. • Familiarity with security best practices. • Experience with automated testing, including unit, integration, and performance tests. • Agile experience: Familiarity with Scrum or Kanban methodologies. • Proven experience in mentoring junior engineers. • A bachelor’s degree in computer science, Engineering, or a related field is preferred.
• Flexible hours • Remote work • Growth opportunities
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